Bhargav Kanagal

According to our database, Bhargav Kanagal authored at least 17 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

ImPaKT: A Dataset for Open-Schema Knowledge Base Construction.

Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai

CoRR, 2022

MAVE: A Product Dataset for Multi-source Attribute Value Extraction.

Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

ShopTalk: A System for Conversational Faceted Search.

Gurmeet Manku, James Lee-Thorp, Bhargav Kanagal, Joshua Ainslie, Jingchen Feng, Zach Pearson, Ebenezer Anjorin, Sudeep Gandhe, Ilya Eckstein, Jim Rosswog, Sumit Sanghai, Michael Pohl, Larry Adams, D. Sivakumar

CoRR, 2021

DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections.

Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

RealFormer: Transformer Likes Residual Attention.

Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach.

Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D. Sivakumar, Bin Shu, Zac Yu, Jon Elsas

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Constructing a Comprehensive Events Database from the Web.

Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Recommendations for All: Solving Thousands of Recommendation Problems Daily.

Bhargav Kanagal, Sandeep Tata

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

A Generic Coordinate Descent Framework for Learning from Implicit Feedback.

Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle

Proceedings of the 26th International Conference on World Wide Web, 2017

2013

Latent factor models with additive and hierarchically-smoothed user preferences.

Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Focused matrix factorization for audience selection in display advertising.

Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia Pueyo, Jeffrey Yuan

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior.

Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Jeffrey Yuan, Lluis Garcia Pueyo

Proc. VLDB Endow., 2012

2011

Sensitivity analysis and explanations for robust query evaluation in probabilistic databases.

Bhargav Kanagal, Jian Li, Amol Deshpande

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

Lineage processing over correlated probabilistic databases.

Bhargav Kanagal, Amol Deshpande

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Indexing correlated probabilistic databases.

Bhargav Kanagal, Amol Deshpande

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Efficient Query Evaluation over Temporally Correlated Probabilistic Streams.

Bhargav Kanagal, Amol Deshpande

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Online Filtering, Smoothing and Probabilistic Modeling of Streaming data.

Bhargav Kanagal, Amol Deshpande

Proceedings of the 24th International Conference on Data Engineering, 2008